code: def dblint(xa, xb, ya, yb, tck):
      """Evaluate the integral of a spline over area [xa,xb] x [ya,yb].
  
      Parameters
      ----------
      xa, xb : float
          The end-points of the x integration interval.
      ya, yb : float
          The end-points of the y integration interval.
      tck : list [tx, ty, c, kx, ky]
          A sequence of length 5 returned by bisplrep containing the knot
          locations tx, ty, the coefficients c, and the degrees kx, ky
          of the spline.
  
      Returns
      -------
      integ : float
          The value of the resulting integral.
      """
      tx, ty, c, kx, ky = tck
      return dfitpack.dblint(tx, ty, c, kx, ky, xa, xb, ya, yb)
  
file_path: scipy/scipy/interpolate/_fitpack_impl.py
imports: import warnings
  import numpy
  from .None import _fitpack
  from numpy import atleast_1d, array, ones, zeros, sqrt, ravel, transpose, empty, iinfo, asarray
  from .None import dfitpack
label_desc: Use image node_id 10 for calling a global function with example usage: dblint(xa, xb, ya, yb, tck) and returns: dfitpack